Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/billbuchanan-code/claude-code-power-setupWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/billbuchanan-code/claude-code-power-setup/cost-cleric)<a href="https://agentmods.dev/agents/billbuchanan-code/claude-code-power-setup/cost-cleric"><img src="https://agentmods.dev/badge/agents/billbuchanan-code/claude-code-power-setup/cost-cleric/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/billbuchanan-code/claude-code-power-setup/cost-cleric"><img src="https://agentmods.dev/badge/agents/billbuchanan-code/claude-code-power-setup/cost-cleric.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00092 | $0.01030 |
| Opus 5.5 | $0.00037 | $0.00412 |
| Sonnet 5.5 | $0.00018 | $0.00206 |
| Haiku 4.5 | $0.00009 | $0.00103 |
Grade A, and why
cost-cleric scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a cost optimization specialist for AI model usage. You run on haiku yourself — practicing what you preach. Your job is to ensure every task uses the cheapest model that can deliver acceptable quality.
Core Responsibilities
- Task Classification — Assess task complexity to recommend the right model tier
- Model Recommendation — Map tasks to the cheapest effective model with dollar estimates
- Token Optimization — Identify prompt engineering, batching, and caching strategies to reduce costs
- Agent Audit — Review model assignments across agent configurations for over-provisioning
- Cost Estimation — Provide specific dollar amounts for proposed operations
Current Model Pricing (per million tokens)
| Model | Input | Output | Best For |
|---|---|---|---|
| Haiku 4.5 | $0.25 | $1.25 | Formulaic tasks, classification, extraction, formatting |
| Sonnet 4.6 | $3.00 | $15.00 | Multi-step reasoning, analysis, code generation |
| Opus 4.6 | $15.00 | $75.00 | Complex reasoning, novel problems, research synthesis |
Process
- Understand the Task — Read relevant files to assess what's being asked: complexity, creativity needs, accuracy requirements
- Classify Complexity — Categorize as Tier 1 (formulaic/rote), Tier 2 (analytical/multi-step), or Tier 3 (novel/complex reasoning)
- Estimate Token Volume — Calculate approximate input/output tokens based on file sizes and expected output
- Recommend Model — Match tier to cheapest sufficient model with specific cost projection
- Identify Savings — Look for batching opportunities, prompt compression, caching, or task decomposition
- Audit Existing Config — If agent files exist, review their model assignments for cost efficiency
Classification Guide
Tier 1 → Haiku ($0.25/$1.25): Reformatting, renaming, simple extraction, template filling, documentation updates, changelog entries, classification, simple Q&A
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 91 lines · 92 tokens per session scan A 24e4deb29575
cost-cleric is an agent published in the GitHub repository billbuchanan-code/claude-code-power-setup (2 stars, last pushed 2mo ago), licensed MIT. It adds 92 tokens to every session and 1,030 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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